March 11th 2024

AMRA Announcement March 11, 2024

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AMRA Medical Introduces Personalized
Z-Scores for Weight Invariant Fat Distribution Assessment

A new method for treatment differentiation beyond weight loss

LINKÖPING, Sweden, March 11, 2024

Personalized fat z-scores are especially useful in obesity, where the excess amount of fat may obscure the individual's specific fat distribution pattern. During follow-up of weight loss interventions, it is difficult to determine whether the treatment had a targeted effect on for example visceral fat, meaning a larger reduction than expected from the weight loss alone. The use of personalized fat z-scores may help to further this understanding and describe shifts in fat distribution patterns beyond weight loss.

The study, utilizing magnetic resonance imaging (MRI) data from 35,138 UK Biobank participants without cardiovascular disease (CVD) or type 2 diabetes (T2D) at baseline, found that larger amounts of visceral fat than expected from BMI (z-score > 0) was consistently linked to future CVD and T2D incidence. The authors conclude that when a person expresses this phenotype, the skewness (or balance) between visceral fat and liver fat/subcutaneous fat could help further determine their specific cardiometabolic risk profile. A lower-than-expected subcutaneous fat (z-score
Ian J. Neeland, at University Hospitals Cleveland Medical Center commented: "Using a z-score to describe body fat distribution is more informative and actionable than using absolute values or relative percent changes. We really want to know if an individual's body fat profile deviates from what we would expect for their overall body size since this can have important implications for cardiometabolic risk and guide treatment decisions. The z-score has the potential to transform adiposity research and provide a more personalized approach to obesity assessment and management."

The study adds to the growing literature illustrating that more personalized descriptions of fat distribution phenotypes provide clinically meaningful information about the individual's specific cardiometabolic risk profile which may aid in tailoring of obesity treatments.

Read the full publication titled 'Skewness in Body fat Distribution Pattern Links to Specific Cardiometabolic Disease Risk Profiles' at https://discover.amramedical.com/e/856123/10-1210-clinem-dgad570/3ky36b/1475650332/h/RfPPrakvx6zM1l6weM7YHMhlxRsuMHylV3cgjh4QPRY

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Learn more about AMRA Medical's MRI-based solutions at https://discover.amramedical.com/e/856123/solutions/3ky36f/1475650332/h/RfPPrakvx6zM1l6weM7YHMhlxRsuMHylV3cgjh4QPRY or connect with our team of experts for a detailed discussion at [email protected].

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This post first appeared on Clinical Trials News, please read the originial post: here